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        If you use plots from MultiQC in a publication or presentation, please cite:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

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        About MultiQC

        This report was generated using MultiQC, version 1.0.dev0

        You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

        For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/ewels/MultiQC

        MultiQC is published in Bioinformatics:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

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        Report generated on 2018-01-04, 18:01 based on data in: /mnt/gencore/sites/core-fastqc.bio.nyu.edu/html/000000000-B4NWY/1


        General Statistics

        Showing 24/24 rows and 3/5 columns.
        Sample Name% Dups% GCM Seqs
        000000000-B4NWY_l01n01_ancestor_barcode_techrep2.351000000b0c8f
        85.9%
        38%
        0.9
        000000000-B4NWY_l01n01_c4_facs1_outgrowth.351000000b0bd0
        87.3%
        39%
        1.0
        000000000-B4NWY_l01n01_c4_facs2_outgrowth.351000000b0bed
        93.0%
        38%
        3.0
        000000000-B4NWY_l01n01_c4_facs3_outgrowth.351000000b0bfa
        82.8%
        44%
        1.3
        000000000-B4NWY_l01n01_c4_facs4_outgrowth.351000000b0c08
        85.2%
        38%
        0.6
        000000000-B4NWY_l01n01_c4_wholepop_270.351000000b0c59
        50.1%
        38%
        0.0
        000000000-B4NWY_l01n01_d4_wholepop_270.351000000b0c72
        92.6%
        38%
        2.1
        000000000-B4NWY_l01n01_e4_facs1_outgrowth.351000000b0c15
        91.1%
        38%
        2.1
        000000000-B4NWY_l01n01_e4_facs2_outgrowth.351000000b0c22
        85.5%
        40%
        0.8
        000000000-B4NWY_l01n01_e4_facs3_outgrowth.351000000b0c3f
        60.1%
        41%
        0.1
        000000000-B4NWY_l01n01_e4_facs4_outgrowth.351000000b0c4c
        92.3%
        40%
        2.8
        000000000-B4NWY_l01n01_e4_wholepop_270.351000000b0c65
        87.0%
        40%
        0.8
        000000000-B4NWY_l01n02_ancestor_barcode_techrep2.352000000b0c8c
        70.3%
        48%
        0.9
        000000000-B4NWY_l01n02_c4_facs1_outgrowth.352000000b0bdd
        74.2%
        38%
        1.0
        000000000-B4NWY_l01n02_c4_facs2_outgrowth.352000000b0bea
        86.7%
        38%
        3.0
        000000000-B4NWY_l01n02_c4_facs3_outgrowth.352000000b0bf7
        76.1%
        52%
        1.3
        000000000-B4NWY_l01n02_c4_facs4_outgrowth.352000000b0c05
        64.7%
        34%
        0.6
        000000000-B4NWY_l01n02_c4_wholepop_270.352000000b0c56
        25.4%
        41%
        0.0
        000000000-B4NWY_l01n02_d4_wholepop_270.352000000b0c7f
        84.0%
        38%
        2.1
        000000000-B4NWY_l01n02_e4_facs1_outgrowth.352000000b0c12
        83.3%
        52%
        2.1
        000000000-B4NWY_l01n02_e4_facs2_outgrowth.352000000b0c2f
        69.3%
        45%
        0.8
        000000000-B4NWY_l01n02_e4_facs3_outgrowth.352000000b0c3c
        25.9%
        34%
        0.1
        000000000-B4NWY_l01n02_e4_facs4_outgrowth.352000000b0c49
        86.0%
        48%
        2.8
        000000000-B4NWY_l01n02_e4_wholepop_270.352000000b0c62
        70.5%
        45%
        0.8

        Lane Statistics

        Lane Statistics

        Showing 1/1 rows and 4/4 columns.
        LaneTotal # of Single-End ReadsTotal # PF ReadsUndetermined % PhiX Aligned
        1.0
        24639325
        20228709
        23.6
        6.0

        Lane 1 Demultiplexing Report

        Lane 1 Demultiplexing Report
        Total Read Count: Total number of PF (Passing Filter) reads in this library.
        Portion: The proportion of reads that represent the individual library in the entire Library Pool.
        Perfect: The percentage of reads in this library which have a barcode perfectly matching the barcode specified in TuboWeb. The remainder of reads have mismatches upto the max number of mismatches specified in TuboWeb (Allowed barcode mismatch option in your Library Pool).

        Showing 12/12 rows and 3/3 columns.
        LibraryTotal Read CountPortion (%)Perfect (%)
        e4_facs2_outgrowth
        779920
        5.0
        95.4
        c4_facs3_outgrowth
        1267991
        8.2
        13.7
        c4_facs2_outgrowth
        3017396
        19.5
        96.9
        c4_facs1_outgrowth
        1044979
        6.8
        96.5
        c4_wholepop_270
        1539
        0.0
        84.0
        ancestor_barcode_techrep2
        905818
        5.9
        95.8
        e4_facs4_outgrowth
        2793761
        18.1
        96.3
        e4_facs3_outgrowth
        74168
        0.5
        92.4
        d4_wholepop_270
        2107617
        13.6
        97.0
        c4_facs4_outgrowth
        597778
        3.9
        95.7
        e4_facs1_outgrowth
        2089817
        13.5
        96.5
        e4_wholepop_270
        778708
        5.0
        95.3

        FastQC

        FastQC is a quality control tool for high throughput sequence data, written by Simon Andrews at the Babraham Institute in Cambridge.

        Sequence Quality Histograms

        The mean quality value across each base position in the read. See the FastQC help.

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        Per Sequence Quality Scores

        The number of reads with average quality scores. Shows if a subset of reads has poor quality. See the FastQC help.

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        Per Base Sequence Content

        The proportion of each base position for which each of the four normal DNA bases has been called. See the FastQC help.

        Click a heatmap row to see a line plot for that dataset.

        rollover for sample name
        Position: -
        %T: -
        %C: -
        %A: -
        %G: -

        Per Sequence GC Content

        The average GC content of reads. Normal random library typically have a roughly normal distribution of GC content. See the FastQC help.

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        Per Base N Content

        The percentage of base calls at each position for which an N was called. See the FastQC help.

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        Sequence Length Distribution

        All samples have sequences of a single length (151bp).


        Sequence Duplication Levels

        The relative level of duplication found for every sequence. See the FastQC help.

        loading..

        Overrepresented sequences

        The total amount of overrepresented sequences found in each library. See the FastQC help for further information.

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        Adapter Content

        The cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position. See the FastQC help. Only samples with ≥ 0.1% adapter contamination are shown.

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